Java common classes-Usage case analysis of Random class

This article introduces the usage of the Random class, a commonly used Java class. The following is a practical case. There is no additional text explanation. I have written everything that needs to be explained in the code comments.

import java.util.Random;public class random1 {
    public static void main(String[] args){
        //两种构造函数
        Random r1=new Random();
        //Random r2=new Random(120); 使用单个 long 种子创建一个新的随机数生成器。

        //System.out.println(r1.next(2));返回值为保护类型
        //System.out.println(r2.next(2));
        System.out.println(r1.nextBoolean());//返回下一个伪随机数，它是取自此随机数生成器序列的均匀分布的 boolean 值。
        System.out.println(r1.nextBoolean());
        System.out.println("+++++++++++");
        byte[] by1=new byte[5];
        byte[] by2=new byte[5];
        r1.nextBytes(by1);//生成随机字节并将其置于用户提供的 byte 数组中。
        r1.nextBytes(by2);
        for(int i=0;i
Running results:
Compiling random1.java.......
-----------OUTPUT-----------
falsefalse
+++++++++++-55 -112 41 -78 93 
54 127 -93 -22 120 
+++++++++++0.69656134440266490.06445584272260563
+++++++++++0.285779950.8657566
+++++++++++-0.15436582029316171.4500847476555192
+++++++++++1824132073-436413982
+++++++++++2921
+++++++++++3295074968265391496
1387264859162260419[Finished in 1.2s]
import java.util.Random;public class random1 {
    public static void main(String[] args){
        //两种构造函数
        Random r1=new Random();
        //Random r2=new Random(120); 使用单个 long 种子创建一个新的随机数生成器。

        //System.out.println(r1.next(2));返回值为保护类型
        //System.out.println(r2.next(2));
        System.out.println(r1.nextBoolean());//返回下一个伪随机数，它是取自此随机数生成器序列的均匀分布的 boolean 值。
        System.out.println(r1.nextBoolean());
        System.out.println("+++++++++++");
        byte[] by1=new byte[5];
        byte[] by2=new byte[5];
        r1.nextBytes(by1);//生成随机字节并将其置于用户提供的 byte 数组中。
        r1.nextBytes(by2);
        for(int i=0;i
Running results:
Compiling random1.java.......
-----------OUTPUT-----------
falsefalse
+++++++++++-55 -112 41 -78 93 
54 127 -93 -22 120 
+++++++++++0.69656134440266490.06445584272260563
+++++++++++0.285779950.8657566
+++++++++++-0.15436582029316171.4500847476555192
+++++++++++1824132073-436413982
+++++++++++2921
+++++++++++3295074968265391496
1387264859162260419[Finished in 1.2s]
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